Machine Learning Engineer

1 week ago

Indore, Madhya Pradesh, India Tecnomi Full time US$ 90,000 - US$ 1,20,000 per year

Role Overview

Tecnomi is seeking skilled ML Engineers to join our innovative R&D team. You will contribute to building, deploying, and scaling machine learning solutions in a collaborative, agile environment, focusing on production-ready systems and infrastructure.

Key Responsibilities

  • Design, implement, and optimize machine learning models and pipelines using Python and relevant frameworks for robust, data-driven applications.
  • Develop and maintain end-to-end ML workflows, including data ingestion, feature engineering, model training, evaluation, and inference.
  • Collaborate with cross-functional teams to integrate ML models into production environments, ensuring scalability and reliability.
  • Handle model deployment, monitoring, and optimization using tools like Docker, Kubernetes, and CI/CD pipelines.
  • Uphold high standards of code quality through rigorous testing, documentation, version control, and best practices in software engineering.

Required Skills and Qualifications

  • 3-5 years of hands-on experience in ML engineering or related roles, with strong proficiency in Python for building scalable ML systems.
  • Expertise in ML libraries and tools such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy, and frameworks for model serving (e.g., TensorFlow Serving or ONNX).
  • Solid understanding of machine learning concepts, including supervised/unsupervised learning, time-series forecasting, neural networks, and model evaluation metrics.
  • Experience with containerization (e.g., Docker), orchestration (e.g., Kubernetes), and cloud platforms (e.g., AWS SageMaker, Google Cloud AI, or Azure ML).
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
  • Strong problem-solving skills, with experience in agile methodologies and cross-team collaboration.

Preferred Skills

  • Familiarity with natural language processing (NLP), reinforcement learning, or computer vision.
  • Knowledge of MLOps practices and tools like MLflow, Kubeflow, or Airflow for model lifecycle management.
  • Experience with real-time data processing, distributed systems, or low-latency ML inference.

What We Offer

  • Opportunity to work on cutting-edge ML projects with significant impact at Tecnomi (visit

    for more about us).
  • Collaborative team environment with access to advanced tools.

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